<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>74(3)</volume><submitter>Sen S</submitter><funding>Saha Institute of Nuclear Physics</funding><pubmed_abstract>Recent studies on the regulatory networks implicated in Alzheimer's disease (AD) evince long non-coding RNAs (lncRNAs) as crucial regulatory players, albeit a poor understanding of the mechanism. Analyzing differential gene expression in the RNA-seq data from the post-mortem AD brain hippocampus, we categorized a list of AD-dysregulated lncRNA transcripts into functionally similar communities based on their k-mer profiles. Using machine-learning-based algorithms, their subcellular localizations were mapped. We further explored the functional relevance of each community through AD-dysregulated miRNA, RNA-binding protein (RBP) interactors, and pathway enrichment analyses. Further investigation of the miRNA-lncRNA and RBP-lncRNA networks from each community revealed the top RBPs, miRNAs, and </pubmed_abstract><journal>Journal of molecular neuroscience : MN</journal><pagination>77</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11324768</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A Holistic Analysis of Alzheimer's Disease-Associated lncRNA Communities Reveals Enhanced lncRNA-miRNA-RBP Regulatory Triad Formation Within Functionally Segregated Clusters.</pubmed_title><pmcid>PMC11324768</pmcid><pubmed_authors>Sen S</pubmed_authors><pubmed_authors>Mukhopadhyay D</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Holistic Analysis of Alzheimer's Disease-Associated lncRNA Communities Reveals Enhanced lncRNA-miRNA-RBP Regulatory Triad Formation Within Functionally Segregated Clusters.</name><description>Recent studies on the regulatory networks implicated in Alzheimer's disease (AD) evince long non-coding RNAs (lncRNAs) as crucial regulatory players, albeit a poor understanding of the mechanism. Analyzing differential gene expression in the RNA-seq data from the post-mortem AD brain hippocampus, we categorized a list of AD-dysregulated lncRNA transcripts into functionally similar communities based on their k-mer profiles. Using machine-learning-based algorithms, their subcellular localizations were mapped. We further explored the functional relevance of each community through AD-dysregulated miRNA, RNA-binding protein (RBP) interactors, and pathway enrichment analyses. Further investigation of the miRNA-lncRNA and RBP-lncRNA networks from each community revealed the top RBPs, miRNAs, and </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Aug</publication><modification>2026-06-02T09:15:19.926Z</modification><creation>2024-12-03T19:35:33.622Z</creation></dates><accession>S-EPMC11324768</accession><cross_references><pubmed>39143264</pubmed><doi>10.1007/s12031-024-02244-0</doi></cross_references></HashMap>